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Top 10 Large Language Models on Hugging Face

Analytics Vidhya

Introduction Hugging Face has become a treasure trove for natural language processing enthusiasts and developers, offering a diverse collection of pre-trained language models that can be easily integrated into various applications. In the world of Large Language Models (LLMs), Hugging Face stands out as a go-to platform.

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Amazon trains 980M parameter LLM with ’emergent abilities’

AI News

Researchers at Amazon have trained a new large language model (LLM) for text-to-speech that they claim exhibits “emergent” abilities. The 980 million parameter model, called BASE TTS, is the largest text-to-speech model yet created.

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LLMs in Conversational AI: Building Smarter Chatbots & Assistants

Analytics Vidhya

Introduction Language Models take center stage in the fascinating world of Conversational AI, where technology and humans engage in natural conversations. Recently, a remarkable breakthrough called Large Language Models (LLMs) has captured everyone’s attention.

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Training Your Own LLM Without Coding

Analytics Vidhya

Introduction Generative AI, a captivating field that promises to revolutionize the way we interact with technology and generate content, has taken the world by storm. We’ll also […] The post Training Your Own LLM Without Coding appeared first on Analytics Vidhya.

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Redefining Conversational AI with Large Language Models

Topbots

Source: rawpixel.com Conversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and use cases. While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption.

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Korea’s Naver joins generative AI race with HyperCLOVA X large language model

Flipboard

Another big gun is entering the AI race. Korean internet giant Naver today announced the launch of HyperCLOVA X, its next-generation large language model (LLM) that delivers conversational AI experiences through a question-answering chatbot called CLOVA X.

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This AI Paper Unveils the Potential of Speculative Decoding for Faster Large Language Model Inference: A Comprehensive Analysis

Marktechpost

Large Language Models (LLMs) are crucial to maximizing efficiency in natural language processing. These models, central to various applications ranging from language translation to conversational AI, face a critical challenge in the form of inference latency.